The OECD AI exposure measure. Mapping the OECD AI Capability Indicators to occupations.

Institution	OECD
Titel	The OECD AI exposure measure. Mapping the OECD AI Capability Indicators to occupations. Gefälligkeitsübersetzung: Der OECD-Maßstab für die KI-Exposition.
Quelle	Paris (2026), 59 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	OECD Artificial Intelligence Papers. 59
Sprache	englisch
Dokumenttyp	online; Monografie
DOI	10.1787/f3da0f0a-en
Schlagwörter	Kompetenz; Kognitive Kompetenz; Künstliche Intelligenz; Indikator; Substitution; Beschäftigungseffekt; Berufsgruppe; Qualifikationsbedarf; Qualifikationsprofil; Tätigkeitsmerkmal; Anwendung; Arbeitspapier; Auswirkung; Prognose; Szenarium; OECD (Organisation für wirtschaftliche Zusammenarbeit und Entwicklung)
Abstract	"This paper develops a new OECD measure of occupational AI exposure based on the OECD AI Capability Indicators. The measure addresses the need for a forward-looking, transparent and updateable approach to assessing how AI may affect work, skills and education over the next 5 to 10 years. It does so by mapping AI capabilities across nine cognitive, social and physical domains to occupational requirements and constructing an AI Capability Gap index. Lower gap values indicate that current AI systems are closer to the capability profile required for an occupation, implying higher potential exposure. The results show that current AI capabilities are closest to occupations involving routine information processing, administrative work and codifiable tasks, and furthest from occupations requiring contextual judgement, interpersonal understanding, complex decision making and responsibility. The analysis also shows that exposure is multidimensional: some occupations are most exposed to language and reasoning systems, while others are more exposed to robotics, machine vision and embodied AI. The measure provides a transparent foundation for analysing task-level transformation, changing skill demand and future labour-market effects, while recognising that actual impacts will depend on adoption, regulation, organisational change and social choice." The study refers to the period 2025-2030 (Author's abstract, IAB-Doku).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2026/4